code: def list_deployments(self, endpoint=None):
      if os.environ.get("raiseError") == "True":
          raise RuntimeError("Error requested")
      return [{"name": f_deployment_name}]
  
file_path: mlflow/tests/resources/mlflow-test-plugin/mlflow_test_plugin/fake_deployment_plugin.py
imports: import os
  from mlflow.deployments import BaseDeploymentClient, PredictionsResponse
label_desc: Use image node_id 4 for calling the PluginDeploymentClient obj's underlying member method code with example usage: obj.list_deployments(endpoint) and returns: list